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. Basic understanding of parallel programming concepts (e.g., multi-threading, concurrency). Ability to work effectively in a collaborative, interdisciplinary team environment. Preferred background: Ph.D
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Parallel: Master’s degree in the discipline or subfield in which an individual is teaching, or Master’s degree and a minimum of 18 graduate hours in the discipline or subfield in which an individual is
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that combine parallel architectures (i.e., GPUs or accelerator boards, clusters) and numerical algorithms suited to such architectures with the goal of improving the speed of convergence and the stability
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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 10 days ago
efficiency of light-to-mechanical energy conversion by adapting excited-state mechanochemical analyses2 to quantify the fraction of absorbed light energy effectively converted into mechanical work. In parallel
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 30 days ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements
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of Power Engineering; Xiaozhe Wang ECSE 408: Communication Systems; Ioannis Psaromiligkos ECSE 412: Discrete Time Signal Processing (cross-listed with ECSE 512); Benoit Champagne ECSE 420: Parallel Computing
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of the overall (upscaling + downscaling) sequence. Research proposal. Three main research lines are proposed. They may be followed in parallel or sequentially depending on the academic background and motivations
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expertise with international research infrastructure. In parallel with our research agenda, the division invests in training the next generation of scientists and clinicians by offering high‑quality
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: development of methods for acceleration of parallel applications in the High Performance Computing (HPC
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, enhanced sampling, QM/MM) Experience improving performance and scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation